# 学生对 伊利诺伊大学香槟分校 提供的 Exploring and Producing Data for Business Decision Making 的评价和反馈

4.8
873 个评分
184 条评论

## 课程概述

This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. Specifically, you will be introduced to statistics and how to summarize data and learn concepts of frequency, normal distribution, statistical studies, sampling, and confidence intervals. While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through the use of Excel and data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts, but also understanding the meaning of the results obtained. Upon successful completion of this course, you will be able to: • Summarize large data sets in graphical, tabular, and numerical forms. • Understand the significance of proper sampling and why you can rely on sample information. • Understand why normal distribution can be used in so many settings. • Use sample information to infer about the population with a certain level of confidence about the accuracy of the estimations. • Use Excel for statistical analysis. This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu....

## 热门审阅

DA
May 14, 2018

The separation of the concepts and Excel skills made the lessons very easy to navigate. Although I knew the concepts from a previous statistics course, the Excel skills made everything feel like new!

OA
Sep 4, 2020

The class was difficult . The professor is demanding and very knowledgeable. She makes sure you learn the material and that you understand it. I learned a lot and I am very happy I took this class.

## 76 - Exploring and Producing Data for Business Decision Making 的 100 个评论（共 180 个）

Jun 12, 2020

The course content was excellent and equally well explained by the instructor.

Apr 8, 2020

Nice and clear instructions with lots of real-world examples. Great teacher.

Sep 7, 2020

One of the awesome learning experience and content I came across on Coursera.

Aug 12, 2019

Very good Course. It's focused on relevant statitical issues ! Very useful.

Apr 7, 2020

Great beginner course for statistics laying foundations for data analytics

Nov 13, 2019

Exceptionally well designed and taught course. Not for the feint of heart!

Nov 15, 2017

Great course. Conductor is exceptional, knowledgeable and professional.

Oct 12, 2019

Great skill set to learn especially when using the formulas in Excel.

Jul 25, 2018

Practical Statistics that helps you get to the truth of numbers..

Feb 1, 2017

I had audited so many courses until I found this one. The best!!!

Oct 22, 2018

Excellent, easy to understand and the skills are very practical!

Feb 27, 2021

I Learned a lot of knowledge from this couse. thanks very much.

Apr 11, 2019

Course is well organized to give a good overview of statistics.

Sep 8, 2020

Course was very interesting, with a lot of practical examples!

Nov 18, 2020

This course is very useful in business and highly recommended

Apr 4, 2019

Really learned a lot of new things, real world solutions.

May 30, 2017

Great lectures and useful for Business decision making.

Aug 10, 2019

Great course! Very thorough and in depth explanations.

May 19, 2017

Great course content and teaching. I highly recommend.

May 23, 2017

Exceptional instructor and concise, useful teachings.

Dec 20, 2020

Useful knowledge, especially excel using. Thank you!

Sep 8, 2020

Amazing Course and awesome explanation for Ms Dutta

Apr 9, 2020

Great professor! Enjoyed the class. Good exmaples.

Apr 8, 2019

good practical experience with Statistics. Thanks

Apr 22, 2018

Great course and structure. Professor was great.